Papers by Maneesh Gupta
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments (2025.acl-long)
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| Challenge: | Specialized non-LLM NLP-based solutions lack reasoning and are not able to infer values not explicitly present in documents. |
| Approach: | They propose a novel LLM-based approach that organizes VRDs into localized semantic textual segments called semantic blocks. |
| Outcome: | The proposed approach outperforms the state-of-the-art on public VRD benchmarks by 1-3% in F1 scores and is resilient to document formats previously not encountered. |
Is My Model Using the Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning (2022.tacl-1)
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| Challenge: | Existing models that claim to reason about evidence should avoid spurious patterns . tabular inputs are well-suited for the study—they admit systematic probes . |
| Approach: | They propose to use tabular data to test whether models can reason about evidence . they show that a RoBERTa-based model fails to reason on the following counts . |
| Outcome: | The proposed model fails to reason on tabular data on the following counts . the model is over-sensitive to annotation artifacts and ignores relevant parts of the evidence . |